摘要
随着城市交通日益发展,如何提高城市交通效率是目前十分关注的问题。为了解决交叉口过饱和交通流控制问题,基于交通流向动态组合的感应控制方案,设计了一种实时多交叉口协调控制(Real-time Intersection Coordination Control,RIC;)模型。该RIC;感应控制模型,以单个交叉口优化为基础,延伸到多个交叉口,形成区域之间的协调控制,同时采取一种改进的量子粒子群算法(Improved Quantum Particle Swarm Optimization,IQPSO)对信号配时进行自适应优化。仿真结果显示上述模型能显著提高城市的通行效率,具有一定可行性。
With the development of urban traffic,how to improve the efficiency of urban traffic is a problem of great concerned.In order to solve the problem of oversaturated traffic flow control,this paper designed a real-time intersection coordination control(RIC;)model based on the dynamic combination of traffic flow.Based on the optimization of single intersection,the RIC;model extended to multiple intersections to form coordinated control among regions.At the same time,an improved quantum particle swarm optimization(IQPSO)waaaas adopted to optimize the signal timing adaptively.The simulation results show that the model can improve the traffic efficiency to a large degree and has certain feasibility.
作者
严丽平
张默可
郭成源
朱炉龙
YAN Li-ping;ZHANG Mo-ke;GUO Cheng-yuan;ZHU Lu-long(College of Software,East China Jiaotong University,NanchangJiangxi 330013,China)
出处
《计算机仿真》
北大核心
2021年第10期180-184,共5页
Computer Simulation
基金
国家自然科学基金项目(61862023)
江西省自然科学基金项目(20181BAB202007)
江西省教育厅科技项目(GJJ190325)。
关键词
量子粒子群优化
多交叉口控制
实时信号配时
自适应
Quantum particle swarm optimization
Multi-intersection control
Real-time signal timing
Self-adaptive
